Journal article

Structural covariance networks in children and their associations with maternal behaviors

Sally Richmond, Richard Beare, Katherine A Johnson, Nicholas B Allen, Marc L Seal, Sarah Whittle

NeuroImage | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2019

Abstract

There is a substantial body of research documenting the influence of early adverse experience on brain development. In contrast, relatively little attention has been directed toward the influence of 'normative' variation in parenting behaviors. This study investigated associations between parenting behaviors and structural brain networks, as measured by structural covariance, in a community sample of children. One hundred and forty-five typically developing 8-year-olds and their mothers completed questionnaire measures and two observed parent-child interaction tasks. Structural MRI scans were also obtained from the children. Structural covariance networks based on partial correlation between..

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Grants

Awarded by National Health Medical Research Council Career Development Fellowship


Awarded by Australian Research Council


Funding Acknowledgements

SR was supported by an Australian Postgraduate Award. SW was supported by a National Health Medical Research Council Career Development Fellowship (ID: 1007716). MLS was supported by the Royal Children's Hospital Foundation. This research was conducted within the Developmental Imaging research group, Murdoch Children's Research Institute and the Children's MRI Centre, Royal Children's Hospital, Melbourne, Victoria. It was supported by the Australian Research Council (Discovery Grant ID: DP130103551), and the Murdoch Children's Research Institute, the Royal Children's Hospital, Department of Paediatrics, The University of Melbourne and the Victorian Government's Operational Infrastructure Support Program. The project was generously supported by RCH1000, a unique arm of The Royal Children's Hospital Foundation devoted to raising funds for research at The Royal Children's Hospital. We thank the RCH Medical Imaging staff for their assistance and expertise in the collection of the MRI data included in this study.